question stringlengths 2.11k 2.25k | context stringlengths 265 2.3k | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 | tuple_count int64 2 33 | token_count int64 95 601 |
|---|---|---|---|---|---|---|
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Political lieutenant', 'District\\n(Area)', 'Took Office', 'Left Office', 'Party leader'], ['Léon Balcer', 'Trois-Rivières\\n(Mauricie)', '1957', '1965', 'John George Diefenbaker'], ['Monique Landry', 'Blainville—Deux-Montagnes\\n(Laurentides)', '1993', '1993', 'Kim Campbell'], ['Marcel Faribault', 'none', '1967', '... | Georges-Henri Héon | Answer: | 128 | 8 | 315 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Series #', 'Season #', 'Title', 'Notes', 'Original air date'], ['12', '1', '"Candy Sale"', "Alfie and Goo are selling candy to make money for some expensive jackets, but they are not having any luck. However, when Dee Dee start helping them sell candy, they start to make money and asks him to help them out. Soon Goo... | "The Weekend Aunt Helen Came" | Answer: | 128 | 4 | 488 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['State', 'Membership', 'Parliament', 'Membership status', 'Represented since', 'Members'], ['Finland', 'Full', 'Eduskunta', 'Sovereign state', '1955', '18'], ['Greenland', 'Associate', 'Landsting', 'Self-governing region of the Danish Realm', '1984', '2'], ['Sweden', 'Full', 'The Riksdag', 'Sovereign state', '1952', ... | Iceland | Answer: | 128 | 11 | 278 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Matches', 'Winner', 'Results', 'Pakistan\\nCaptain', 'Pakistan\\nCoach', 'India\\nCaptain', 'India\\nCoach'], ['1999', '9', 'Pakistan win', '5 - 3', 'Atif Bashir', 'Shahnaz Shaikh', 'Anil Aldrin', 'V Bhaskaran'], ['1981', '4', 'Pakistan win', '2 - 1', 'Akhtar Rasool', 'Zakauddin', 'Surjeet Singh', 'Harmeek S... | 4 | Answer: | 128 | 9 | 424 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Model', 'Volume', 'Engine', 'Fuel', 'Power/Torque', 'Years produced', 'Produced'], ['730iL', '3.0L', 'M60B30 V8', 'Petrol', '160\xa0kW (218\xa0PS; 215\xa0hp) / 290\xa0N·m (214\xa0lb·ft)', '1994–1996', '2137'], ['728i', '2.8L', 'M52B28 I6', 'Petrol', '142\xa0kW (193\xa0PS; 190\xa0hp) / 280\xa0N·m (207\xa0lb·ft)', '19... | 13 | Answer: | 128 | 7 | 496 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Team', 'Chassis', 'Engine', 'Tires', 'No', 'Drivers'], ['Arciero-Wells Racing', 'Reynard 98i', 'Toyota', 'Firestone', '25', 'Max Papis'], ['Project Indy', 'Reynard 97i', 'Ford XB', 'Goodyear', '15', 'Roberto Moreno\\n Domenico Schiattarella'], ['Payton/Coyne Racing', 'Reynard 98i', 'Ford XB', 'Firestone', '34', 'Den... | 2 | Answer: | 128 | 15 | 530 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Speed', 'Date', 'Country', 'Train', 'Arr.', 'Power', 'State', 'Comments'], ['24\xa0km/h (15\xa0mph)', '1825', 'UK', 'Locomotion No. 1', 'Loc', 'Steam', 'Unmod.', '[citation needed]'], ['96.6\xa0km/h (60\xa0mph)', '1848', 'USA', 'Boston and Maine Railroad Antelope', 'Loc', 'Steam', 'Unmod.', 'First authenticated 60\x... | LNER Class A4 No. 4468 Mallard | Answer: | 128 | 6 | 480 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Olympics', 'Athlete', 'Judge (Official)', 'Coach', 'Language'], ['1964 Summer Olympics', 'Takashi Ono', '-', '-', 'Japanese'], ['1924 Summer Olympics', 'Géo André', '-', '-', 'French.'], ['1956 Winter Olympics', 'Giuliana Minuzzo', '-', '-', '-'], ['1998 Winter Olympics', 'Kenji Ogiwara', 'Junko Hiramatsu', '-', 'Ja... | English | Answer: | 128 | 23 | 516 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Name of place', 'Number of counties', 'Principal county', 'Lower zip code', 'Upper zip code'], ['Schollard', '1', 'Mercer County', '', ''], ['Selkirk', '1', 'Warren County', '', ''], ['Shelvey', '1', 'Elk County', '15846', ''], ['Schuster Heights', '1', 'Butler County', '16229', ''], ['Sarver', '1', 'Butler County',... | 1 | Answer: | 128 | 28 | 533 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Single', 'Peak chart\\npositions\\nUS Country', 'Peak chart\\npositions\\nCAN Country', 'Album'], ['1979', '"You Are My Rainbow"', '36', '—', 'singles only'], ['1977', '"You and Me Alone"', '24', '—', 'Lovingly'], ['1968', '"I\'m in Love with My Wife"', '38', '—', 'A World Called You'], ['1977', '"The Lady a... | 6 | Answer: | 128 | 22 | 532 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Date', 'Opponent', 'Venue', 'Result', 'Attendance', 'Scorers'], ['10 September 1960', 'West Ham United', 'H', '3-2', '37,873', 'Greaves, Livesey, Blunstone'], ['25 March 1961', 'Newcastle United', 'A', '6-1', '28,975', 'Greaves (4), Tindall (2)'], ['29 October 1960', 'Preston North End', 'A', '2-0', '14,174', 'Tinda... | Greaves | Answer: | 128 | 15 | 530 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Place', 'Rider', 'Country', 'Team', 'Points', 'Wins'], ['6', 'Heikki Mikkola', 'Finland', 'Husqvarna', '1680', '2'], ['7', 'Willy Bauer', 'Germany', 'Maico', '1276', '0'], ['10', 'Dave Bickers', 'United Kingdom', 'ČZ', '1076', '0'], ['1', 'Sylvain Geboers', 'Belgium', 'Suzuki', '3066', '3'], ['17', 'John DeSoto', 'U... | 10 | Answer: | 128 | 20 | 503 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Competition', 'Venue', 'Position', 'Event', 'Notes'], ['2011', 'Asian Championships', 'Kobe, Jpan', '3rd', '200 m', '20.97'], ['2008', 'Asian Indoor Championships', 'Doha, Qatar', '4th', '60 m', '6.81'], ['2009', 'Asian Championships', 'Guangzhou, China', '1st', '200 m', '21.07'], ['2008', 'World Indoor Cham... | Asian Indoor Games | Answer: | 128 | 13 | 403 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Name', 'Pennant', 'Namesake', 'Builder', 'Ordered', 'Laid down', 'Launched', 'Commissioned', 'Fate'], ['Apollo', '63', 'Apollo, God of Light', 'HM Dockyard, Devonport', '1 March 1933', '15 August 1933', '9 October 1934', '13 January 1936', 'Sold to Royal Australian Navy as HMAS Hobart, 1938\\nBroken up at Osaka, 196... | Ajax the Great | Answer: | 128 | 7 | 519 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['#', 'Title', 'Time', 'Lyrics', 'Music', 'Producer(s)', 'Performer(s)'], ['13', '"Angel Like"', '3:42', 'Boondox', 'Mike E. Clark', 'Boondox', 'Boondox'], ['3', '"Out Here"', '3:18', 'Boondox', 'Mike E. Clark\\nTino Grosse', 'Boondox', 'Boondox'], ['10', '"Sippin"', '3:16', 'Boondox', 'Mike E. Clark', 'Boondox', 'Boo... | Intro | Answer: | 128 | 13 | 489 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Round', 'Pick', 'Player', 'Position', 'Nationality', 'School/Club Team'], ['3', '61', 'Rich Yonakor', '', 'United States', 'North Carolina'], ['3', '60', 'Lavon Mercer', '', 'United States', 'Georgia'], ['1', '15', 'Reggie Johnson', 'PF/C', 'United States', 'Tennessee'], ['8', '172', 'Bill Bailey', '', 'United State... | Texas Pan-American | Answer: | 128 | 11 | 260 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Contestant', 'Original\\nTribe', 'First\\nSwitch', 'Second\\nSwitch', 'Merged\\nTribe', 'Finish', 'Ghost\\nIsland', 'Total\\nVotes'], ['Dina Berić\\n23, Ledinci, near Novi Sad', 'Manobo', "Ga 'dang", 'Manobo', 'Diwata', '12th Voted Out\\n3rd Jury Member\\nDay 41', '', '6'], ['Anita Mažar\\n23, Kula', "Ga 'dang", "Ga... | 11 | Answer: | 128 | 8 | 536 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Title', 'Role', 'Notes'], ['2013', 'The Real', 'Herself', 'Host'], ['2004–2006', 'Strong Medicine', 'Dr. Kayla Thorton', '37 episodes'], ['2009', 'The Super Hero Squad Show', 'Misty Knight', '1 episode'], ['2011', 'Access Hollywood Live', 'Herself', 'Co-host'], ['2000', 'How I Loved a Macho Boy', 'Jamal Sant... | 2011 | Answer: | 128 | 22 | 457 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Pick #', 'Player', 'Position', 'Nationality', 'NHL team', 'College/junior/club team'], ['153', 'Milan Tichy', 'Defense', 'Czechoslovakia', 'Chicago Blackhawks', 'Prince Albert Raiders (WHL)'], ['156', 'Kevin Plager', 'Right Wing', 'United States', 'St. Louis Blues', 'Parkway North High School (USHS-MO)'], ['155', 'R... | Defense | Answer: | 128 | 16 | 533 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['#', 'Name', 'Height', 'Weight (lbs.)', 'Position', 'Class', 'Hometown', 'Previous Team(s)'], ['24', 'Quincy Pondexter', '6\'6"', '210', 'F', 'So.', 'Fresno, CA, U.S.', 'San Joaquin Memorial HS'], ['22', 'Justin Holiday', '6\'6"', '170', 'F', 'Fr.', 'Chatsworth, CA, U.S.', 'Campbell Hall School'], ['20', 'Ryan Appleb... | 5 | Answer: | 128 | 12 | 486 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Date', 'Team', 'Competition', 'Round', 'Leg', 'Opponent', 'Location', 'Score'], ['October 25', 'Anderlecht', 'UEFA Cup', 'Group Stage', 'Match 1, Home', 'Hapoel Tel Aviv', 'Constant Vanden Stock Stadium, Anderlecht', '2-0'], ['October 4', 'Standard Liège', 'UEFA Cup', 'Round 1', 'Leg 2, Home', 'Zenit St. Petersburg'... | 4 | Answer: | 128 | 10 | 526 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Team', 'City', 'Years active', 'Seasons played', 'Win–loss record', 'Win%', 'Playoffs appearances'], ['Washington Capitols', 'Washington, D.C.', '1946–1951', '5', '157–114', '.579', '4'], ['BAA Buffalo', 'Buffalo, New York', 'Never Played', '0', '0–0', 'N/A', '0'], ['Baltimore Bullets*', 'Baltimore, Maryland', '1947... | Baltimore Bullets | Answer: | 128 | 15 | 508 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'MVP', 'Defensive Player of the Year', 'Unsung Hero', 'Newcomer of the Year'], ['2001', 'Mauro Biello', '–', '–', '–'], ['1995', 'Lloyd Barker', '–', '–', '–'], ['2009', 'David Testo', 'Nevio Pizzolitto', 'Adam Braz', 'Stephen deRoux'], ['2000', 'Jim Larkin', '–', '–', '–'], ['2005', 'Mauro Biello', 'Nevio Pi... | Mauro Biello | Answer: | 128 | 19 | 488 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Period', 'Live births per year', 'Deaths per year', 'Natural change per year', 'CBR*', 'CDR*', 'NC*', 'TFR*', 'IMR*'], ['1960-1965', '195 000', '89 000', '105 000', '55.5', '25.5', '30.1', '7.13', '167'], ['1950-1955', '139 000', '66 000', '74 000', '52.6', '24.8', '27.8', '6.86', '174'], ['1965-1970', '229 000', '1... | 142,000 | Answer: | 128 | 11 | 535 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['#', 'Directed By', 'Written By', 'Original Air Date'], ['14', 'Ken Horn', 'Neil McKay', 'January\xa025,\xa01998'], ['6', 'John Reardon', 'Neil McKay', 'November\xa02,\xa01997'], ['18', 'John Reardon', 'Simon J. Sharkey', 'February\xa022,\xa01998'], ['11', 'John Reardon', 'Simon J. Sharkey', 'January\xa04,\xa01998'],... | Gerry Poulson | Answer: | 128 | 18 | 432 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['#', 'Date', 'Venue', 'Opponent', 'Score', 'Result', 'Competition'], ['5.', '8 September 1999', 'Vivero, Badajoz, Spain', 'Cyprus', '2–0', '8–0', 'Euro 2000 qualifying'], ['2.', '27 March 1999', 'Mestalla, Valencia, Spain', 'Austria', '5–0', '9–0', 'Euro 2000 qualifying'], ['6.', '8 September 1999', 'Vivero, Badajoz,... | 6 | Answer: | 128 | 8 | 350 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Award', 'Film', 'Result'], ['1989', 'Best Actress', "Drôle d'endroit pour une rencontre", 'Nominated'], ['1988', 'Best Actress', 'Agent trouble', 'Nominated'], ['2006', 'Best Supporting Actress', 'Palais Royal!', 'Nominated'], ['1982', 'Best Actress', 'Hôtel des Amériques', 'Nominated'], ['1981', 'Best Actre... | Palais Royal! | Answer: | 128 | 12 | 230 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Number', 'Name', 'Term Started', 'Term Ended', 'Alma Mater', 'Field(s)', 'Educational Background'], ['7', 'Dr Abdul Majid', '1997', '2001', 'University of Wales', 'Astrophysics', 'Ph.D'], ['6', 'Engr.Sikandar Zaman', '1990', '1997', 'University of Leeds', 'Mechanical Engineering', 'Bachelor of Science (B.S.)'], ['4'... | Engr.Sikandar Zaman | Answer: | 128 | 9 | 380 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Band', 'Disc/Song', 'Released', 'Disc Description', 'Disk Size', 'Image'], ["Guns N' Roses", 'Paradise City', '1989', 'Shape of a Colt "Peacemaker"', '7"', ''], ['OMD', 'La Femme Accident', '1985', '', '', ''], ['Monster Magnet', 'Negasonic Teenage Warhead', '', 'Shaped like a mushroom cloud', '12"', ''], ['Tangerin... | Nightrain | Answer: | 128 | 15 | 500 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Competition', 'Venue', 'Position', 'Event', 'Notes'], ['2000', 'World Junior Championships', 'Santiago, Chile', '1st', 'Discus throw', '59.51 m'], ['2004', 'Olympic Games', 'Athens, Greece', '8th', 'Discus throw', '62.58 m'], ['2004', 'African Championships', 'Brazzaville, Republic of the Congo', '2nd', 'Dis... | 4 events | Answer: | 128 | 9 | 299 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['#', 'Player', 'Goals', 'Caps', 'Career'], ['1', 'Landon Donovan', '57', '155', '2000–present'], ['9T', 'DaMarcus Beasley', '17', '114', '2001–present'], ['6T', 'Bruce Murray', '21', '86', '1985–1993'], ['5', 'Joe-Max Moore', '24', '100', '1992–2002'], ['3', 'Eric Wynalda', '34', '106', '1990–2000'], ['4', 'Brian McB... | DaMarcus Beasley | Answer: | 128 | 10 | 229 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Event', 'Gold', 'Time', 'Silver', 'Time', 'Bronze', 'Time'], ['K–1 500 m', 'Nicole Reinhardt\xa0(GER)', '1:47.066', 'Danuta Kozák\xa0(HUN)', '1:47.396', 'Inna Osypenko-Radomska\xa0(UKR)', '1:48.668'], ['K–4 500 m', 'Hungary\\nGabriella Szabó\\nDanuta Kozák\\nKatalin Kovács\\nDalma Benedek', '1:36.339', 'Germany\\nCa... | 1:47.066 | Answer: | 128 | 6 | 517 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Date', 'Opponents', 'Venue', 'Result', 'Scorers', 'Attendance'], ['27 Dec 1920', 'Southend United', 'A', '1–2', 'Walker', '10,000'], ['13 Nov 1920', 'Gillingham', 'A', '4–1', 'Dobson, Wolstenholme, Blott, Devlin', '8,000'], ['25 Mar 1921', 'Merthyr Town', 'H', '0–3', '', '12,600'], ['18 Sep 1920', 'Plymouth Argyle',... | Reading | Answer: | 128 | 16 | 508 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Manufacturer', 'Model', 'Length (feet)', 'Quantity', 'Fleet Series', 'Fuel Propulsion', 'Powertrain'], ['2013', 'Gillig', 'Low-floor Advantage', '40', '65', '1301-1365', 'Diesel', 'Cummins ISL 280 HP \\nAllison B400 6-speed'], ['1996', 'New Flyer', 'D60', '60 (articulated)', '30', '1901-1930*', 'Diesel', 'De... | Gillig | Answer: | 128 | 11 | 507 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Pick #', 'Player', 'Position', 'Nationality', 'NHL team', 'College/junior/club team'], ['157', 'Raymond Saumier', 'Right Wing', 'Canada', 'Hartford Whalers', 'Trois Rivieres Draveurs (QMJHL)'], ['165', 'Sean Whyte', 'Right Wing', 'Canada', 'Los Angeles Kings', 'Guelph Platers (OHL)'], ['161', 'Derek Plante', 'Center... | 5 | Answer: | 128 | 16 | 534 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['School', 'Season', 'Record', 'Conference Record', 'Place', 'Postseason'], ['Illinois', '1919–20', '9–4', '8–4', '3rd', ''], ['Illinois', '1916–17', '13–3', '10–2', 'T1st', 'Big Ten Champions'], ['Illinois', '1915–16', '13–3', '9–3', 'T2nd', ''], ['Illinois', '1918–19', '6–8', '5–7', '5th', ''], ['Illinois', '1912–13... | 1915-16 | Answer: | 128 | 9 | 262 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Nation', 'Gold', 'Silver', 'Bronze', 'Total'], ['9', 'Germany', '1', '0', '1', '2'], ['2', 'Austria', '4', '3', '4', '11'], ['7', 'Norway', '2', '1', '1', '4'], ['3', 'Finland', '3', '3', '1', '7'], ['6', 'United States', '2', '3', '2', '7'], ['4', 'Switzerland', '3', '2', '1', '6'], ['1', 'Soviet Union', '*... | United States, Canada | Answer: | 128 | 10 | 207 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Season', 'Conference', 'Head Coach', 'Total Wins', 'Total Losses', 'Total Ties', 'Conference Wins', 'Conference Losses', 'Conference Ties', 'Conference Standing', 'Postseason Result'], ['1921', 'Southern Intercollegiate', "Harvey O'Brien", '3', '3', '2', '2', '3', '1', '—', '—'], ['2007', 'Southern', 'Kevin Higgins'... | Kevin Higgins | Answer: | 128 | 13 | 537 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Season', 'Age', 'Overall', 'Slalom', 'Giant\\nSlalom', 'Super G', 'Downhill', 'Combined'], ['2012', '25', '75', '–', '28', '–', '–', '—'], ['2004', '17', '112', '–', '–', '51', '–', '—'], ['2013', '26', '37', '–', '17', '28', '30', '—'], ['2010', '23', '28', '–', '–', '13', '23', '—'], ['2007', '20', '33', '–', '50'... | 2 | Answer: | 128 | 10 | 312 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Rider', 'Victories', 'Bike', "Manufacturer's Championship"], ['1998', 'Carl Fogarty', '3', 'Ducati 916', 'Ducati'], ['1999', 'Carl Fogarty', '11', 'Ducati 996', 'Ducati'], ['1995', 'Carl Fogarty', '13', 'Ducati 916', 'Ducati'], ['2001', 'Troy Bayliss', '6', 'Ducati 996', 'Ducati'], ['2000', '(Colin Edwards)'... | Carl Fogarty | Answer: | 128 | 7 | 189 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Route', 'Destinations', 'Via', 'Frequency\\n(minutes)', 'Peak Hours Only', 'Former'], ['19', "Montreal Street\\nQueen's University", 'Downtown', '30', 'X', ''], ['4', 'Princess Street', 'Cataraqui Town Centre\\nDowntown', '30', '', ''], ['12', 'Kingston Centre\\nHighway 15', 'Downtown\\nCFB Kingston (off-peak only)'... | Bus Terminal | Answer: | 128 | 16 | 527 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['DATE', 'OPPONENT', 'SCORE', 'TOP SCORER (Total points)', 'VENUE'], ['June 24', 'SHELL', '94-82', '', 'ARANETA COLISEUM'], ['September 29', "TALK 'N TEXT", '99-85', '', 'DUMAGUETE CITY'], ['October 14', 'SHELL', '68-62', '', 'YNARES CENTER'], ['March 9', 'SHELL', '65-58', '', 'PHILSPORTS ARENA'], ['November 7', 'SAN ... | 9 | Answer: | 128 | 19 | 524 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Name', 'Location', 'Date Formed', 'Area', 'Description'], ['Padre Island', 'Texas\\n27°00′N 97°23′W\ufeff / \ufeff27°N 97.38°W', 'April 6, 1968', '130,434.27 acres (527.8\xa0km2)', "Padre Island, the world's longest undeveloped barrier island, is a nesting ground for the Kemp's ridley sea turtle and a migratory site... | 3 | Answer: | 128 | 3 | 397 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Game', 'Day', 'Date', 'Kickoff', 'Opponent', 'Results\\nScore', 'Results\\nRecord', 'Location', 'Attendance'], ['9', 'Sunday', 'January 5', '1:05pm', 'San Diego Sockers', 'L 7–12', '4–5', 'UniSantos Park', '388'], ['13', 'Saturday', 'February 1', '7:05pm', 'at San Diego Sockers', 'L 5–6', '7–6', 'Valley View Casino ... | Ontario Fury | Answer: | 128 | 11 | 539 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['name', 'glyph', 'C string', 'Unicode', 'Unicode name'], ['vertical-line', '\\p', '\\p', 'U+007C', 'VERTICAL LINE'], ['number-sign', '#', '#', 'U+0023', 'NUMBER SIGN'], ['J', 'J', 'J', 'U+004A', 'LATIN CAPITAL LETTER J'], ['u', 'u', 'u', 'U+0075', 'LATIN SMALL LETTER U'], ['greater-than-sign', '>', '>', 'U+003E', 'GR... | no | Answer: | 128 | 24 | 517 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Single', 'Peak chart\\npositions\\nUS Country', 'Peak chart\\npositions\\nCAN Country', 'Album'], ['1979', '"You Are My Rainbow"', '36', '—', 'singles only'], ['1972', '"Goodbye"', '38', '—', 'Need You'], ['1979', '"You\'re Amazing"', '39', '—', 'singles only'], ['1984', '"I\'m a Country Song"', '72', '—', '... | 18 | Answer: | 128 | 22 | 535 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Pick #', 'Player', 'Position', 'Nationality', 'NHL team', 'College/junior/club team'], ['153', 'Milan Tichy', 'Defense', 'Czechoslovakia', 'Chicago Blackhawks', 'Prince Albert Raiders (WHL)'], ['152', 'Sergei Starikov', 'Defense', 'Soviet Union', 'New Jersey Devils', 'CSKA Moscow (USSR)'], ['154', 'Jon Pratt', 'Left... | 21 | Answer: | 128 | 16 | 529 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Team', 'No', 'Driver', 'Class', 'Rounds'], ['Mücke Motorsport', '8', 'Timmy Hansen', '', 'All'], ['Josef Kaufmann Racing', '5', 'Hannes van Asseldonk', 'R', 'All'], ['Fortec Motorsport', '24', 'Jack Harvey', '', 'All'], ['Fortec Motorsport', '25', 'George Katsinis', '', 'All'], ['EuroInternational', '14', 'Michael L... | 15 | Answer: | 128 | 19 | 393 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Diver', 'Preliminary\\nPoints', 'Preliminary\\nRank', 'Final\\nPoints'], ['24', 'Rim Hassan\xa0(EGY)', '258.63', '24', ''], ['21', 'Nicole Kreil\xa0(AUT)', '382.68', '21', ''], ['10', 'Daphne Jongejans\xa0(NED)', '487.95', '4', '437.40'], ['13', 'Ann Fargher\xa0(NZL)', '421.65', '13', ''], ['', 'Christina Se... | Verónica Ribot (ARG) | Answer: | 128 | 20 | 526 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Name', 'League', 'FA Cup', 'League Cup', 'JP Trophy', 'Total'], ['Liam Sercombe', '1', '0', '0', '0', '1'], ['Arron Davies', '3', '0', '0', '0', '3'], ['Scot Bennett', '5', '0', '0', '0', '5'], ['Alan Gow', '4', '0', '0', '0', '4'], ["John O'Flynn", '11', '0', '1', '0', '12'], ['OWN GOALS', '0', '0', '0', '0', '0'],... | Jamie Cureton | Answer: | 128 | 13 | 283 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['District\\nbalance\\n[clarification needed]', 'Area\\nkm2', 'Area\\nsq mi', 'Pop.\\n1998', 'Pop.\\n2008', 'Pop./km²\\n2008'], ['Jamestown', '3.6', '1.4', '884', '714', '198.3'], ['Alarm Forest', '5.9', '2.3', '289', '276', '46.8'], ['Sandy Bay', '15.3', '5.9', '254', '205', '13.4'], ['Royal Mail Ship\\nSt. Helena[cl... | Jamestown Harbour | Answer: | 128 | 11 | 339 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Country', 'Box Office', 'Year', 'Box office\\nfrom national films'], ['6', 'South Korea', '$1.47 billion', '2013', '59.7% (2013)'], ['5', 'France', '$1.7 billion', '2012', '33.3% (2013)'], ['12', 'Brazil', '$0.72 billion', '2013', '17% (2013)'], ['11', 'Italy', '$0.84 billion', '2013', '30% (2013)'], ['3', '... | South Korea | Answer: | 128 | 13 | 321 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['#', 'Massif', 'Region', 'Type of nature reserve', 'Preserved area', 'Buffer zone'], ['11', 'Jasmund', 'Mecklenburg-Vorpommern', 'Jasmund National Park', '492.5 ha', '2510.5 ha'], ['5', 'Kuziy / Trybushany', 'Zakarpattia', 'Carpathian Biosphere Reserve', '1369.6 ha', '3163.4 ha'], ['14', 'Hainich', 'Thuringia', 'Hain... | 15 | Answer: | 128 | 14 | 520 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Outcome', 'No.', 'Date', 'Tournament', 'Surface', 'Opponent', 'Score'], ['Winner', '4.', '16 July 2006', 'Swedish Open, Båstad, Sweden', 'Clay', 'Nikolay Davydenko', '6–2, 6–1'], ['Winner', '3.', '21 May 2006', 'Hamburg Masters, Hamburg, Germany', 'Clay', 'Radek Štěpánek', '6–1, 6–3, 6–3'], ['Runner-up', '4.', '30 A... | 105 | Answer: | 128 | 10 | 513 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Wrestler:', 'Reigns:', 'Date:', 'Place:', 'Notes:'], ['Randy Savage', '2', '1981', 'Unknown', ''], ['Lanny Poffo', '4', 'January 1, 1984', 'Springfield, Illinois', ''], ['Randy Savage', '3', '1982', 'Unknown', ''], ['Lanny Poffo', '1', 'May 10, 1978', 'San Francisco, California', 'Defeated Joe Banek to become the fi... | 4 | Answer: | 128 | 8 | 215 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Episode', 'Show #', 'Iron Chef', 'Challenger', 'Challenger specialty', 'Secret ingredient(s) or theme', 'Winner', 'Final score'], ['4', 'IA0501', 'Mario Batali', 'Andrew Carmellini', 'Urban Italian', 'Parmigiano-Reggiano', 'Mario Batali', '56-55'], ['3', 'IA0509', 'Cat Cora', 'Alexandra Guarnaschelli', 'French-Ameri... | 2 | Answer: | 128 | 12 | 526 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Season', 'Team', 'Country', 'Division', 'Apps', 'Goals'], ['2003', 'Shandong Luneng', 'China', '1', '4', '0'], ['2009', 'Jiangsu Sainty', 'China', '1', '15', '0'], ['2008', 'Jiangsu Sainty', 'China', '2', '24', '0'], ['2013', 'Jiangsu Sainty', 'China', '1', '11', '0'], ['2010', 'Jiangsu Sainty', 'China', '1', '17', ... | 1 | Answer: | 128 | 11 | 272 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Season', 'Age', 'Overall', 'Slalom', 'Giant\\nSlalom', 'Super G', 'Downhill', 'Combined'], ['2010', '23', '28', '–', '–', '13', '23', '—'], ['2011', '24', 'Injured, did not compete', 'Injured, did not compete', 'Injured, did not compete', 'Injured, did not compete', 'Injured, did not compete', 'Injured, did not comp... | 10 | Answer: | 128 | 10 | 312 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Place', 'Player', 'Country', 'Score', 'To par', 'Money ($)'], ['T10', 'Bob Tway', 'United States', '69-69-72-75=285', '+5', '44,184'], ['T4', 'Davis Love III', 'United States', '72-68-73-71=284', '+4', '66,633'], ['T4', 'Phil Mickelson', 'United States', '68-70-72-74=284', '+4', '66,633'], ['2', 'Greg Norman', 'Aust... | 285 | Answer: | 128 | 12 | 401 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Value', 'Diameter', 'Composition', '1975–1979\\nObverse', '1975–1979\\nReverse', '1981-\\nObverse', '1981-\\nReverse'], ['2 seniti', '21\xa0mm', 'Bronze', 'Marrows', 'PLANNED FAMILIES FOOD FOR ALL, six people holding hands', 'Taro', 'PLANNED FAMILIES FOOD FOR ALL, six people holding hands'], ['1 seniti', '18\xa0mm',... | 5 seniti | Answer: | 128 | 6 | 278 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Wrestler:', 'Times:', 'Date:', 'Location:', 'Notes:'], ['Asian Cougar / Kuuga', '1', 'August 28, 2010', 'Osaka, Japan', 'Asian Cougar renamed himself Kuuga during his reign.'], ['Super Dolphin', '1', 'February 13, 2005', 'Osaka, Japan', ''], ['Daisuke Harada', '1', 'February 26, 2012', 'Osaka, Japan', ''], ['Tigers ... | Billyken Kid | Answer: | 128 | 17 | 525 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Binary', 'Octal', 'Decimal', 'Hexadecimal', 'Glyph'], ['0011\xa00110', '066', '54', '36', '6'], ['0011\xa00001', '061', '49', '31', '1'], ['0011\xa00111', '067', '55', '37', '7'], ['0011\xa00010', '062', '50', '32', '2'], ['0011\xa00101', '065', '53', '35', '5'], ['0011\xa00100', '064', '52', '34', '4'], ['0011\xa01... | 060 | Answer: | 128 | 10 | 207 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Hull', 'Type', 'Original Name', 'Original Operator', 'Delivery', 'Disposition (2012)', '2nd name', '2nd operator', '3rd Name', '3rd operator'], ['№ 15', '929-117', 'Emerald Wing', 'Kaijo Access Co.', 'Jun 1994', 'Active', '2004 Rocket 1', 'Cosmo Line', '-', 'Tane Yaku Jetfoil'], ['№ 6', '929-117', 'Beetle', 'JR Kyus... | JR Kyushu Jet Ferries | Answer: | 128 | 11 | 546 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Route', 'Name', 'Fare Type', 'Terminals', 'Terminals', 'Major streets', 'Notes', 'History'], ['U4', 'Sheriff Road-River Terrace Line', 'Local', 'River Terrace and Mayfair', 'Minnesota Avenue station', 'Sheriff Road NE\\nMinnesota Avenue NE\\nBenning Road NE', 'order of terminals (north to south): River Terrace to Mi... | 3 | Answer: | 128 | 4 | 445 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Team', 'City', 'Venue', 'Capacity', 'Head Coach', 'Team Captain', 'Past Season'], ['Payam', 'Mashhad', 'Samen', '35,000', 'Kazem Ghiyasiyan', 'Mehdi Hasheminasab', 'Qualifier'], ['Bargh Shiraz', 'Shiraz', 'Hafezieh', '20,000', 'Rasoul Korbekandi', 'Sattar Zare', '7th'], ['Foolad', 'Ahvaz', 'Takhti Ahvaz', '15,000', ... | 15 | Answer: | 128 | 12 | 528 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Season', 'Team', 'Record', 'Head Coach', 'Quarterback', 'Leading Rusher', 'Leading Receiver', 'All-Pros', 'Runner Up'], ['2011', 'New York Giants†', '9–7', 'Tom Coughlin', 'Eli Manning', 'Ahmad Bradshaw', 'Victor Cruz', 'Pierre-Paul', 'San Francisco 49ers'], ['1973', 'Minnesota Vikings', '12–2', 'Bud Grant*', 'Fran ... | San Francisco 49ers | Answer: | 128 | 10 | 506 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Common name', 'District', 'Hebrew', 'Arabic', 'Population\\n(2009)', 'Area\\n(km²)', 'Mayor'], ['Dimona', 'South', 'דימונה', 'ديمونة', '32,400', '29.877', 'Meir Cohen'], ["Ma'ale Adumim", 'Judea & Samaria\\n(West\xa0Bank)', 'מעלה אדומים', 'معلي أدوميم', '34,300', '49.177', 'Benny Kashriel'], ['Kiryat Bialik', 'Haifa... | Elkabetz | Answer: | 128 | 12 | 537 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Episode no.', 'Airdate', 'Viewers', 'BBC Three weekly ranking', 'Multichannels rank'], ['11', '4 July 2013', 'N/A', 'N/A', 'N/A'], ['9', '20 June 2013', '1,204,000', '6', '9'], ['10', '27 June 2013', '730,000', 'N/A', '28'], ['8', '13 June 2013', '840,000', '5', '19'], ['6', '30 May 2013', '1,094,000', '1', '3'], ['... | 8 | Answer: | 128 | 12 | 277 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Match no.', 'Match Type', 'Team Europe', 'Score', 'Team USA', 'Progressive Total'], ['25', 'Singles', 'Mika Koivuniemi', '217 - 279', 'Chris Barnes', '14 - 11'], ['29', 'Singles', 'Tomas Leandersson', '176 - 258', 'Bill Hoffman', '15 - 14'], ['28', 'Singles', 'Tore Torgersen', '206 - 275', 'Doug Kent', '15 - 13'], [... | Paul Moor | Answer: | 128 | 8 | 263 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['ZOOM', 'Cast Member 1', 'Cast Member 2', 'Cast Member 3', 'Cast Member 4', 'Cast Member 5', 'Cast Member 6', 'Cast Member 7'], ['Season 4 (2002)', 'Aline Toupi', 'Garrett DiBona', 'Rachel Redd', 'Matthew "Matt" Runyon', 'Estuardo Alvizures', 'Kaleigh Cronin', 'Caroline Botelho'], ['Season 5 (2003)', 'Caroline Botelh... | Jared Nathan | Answer: | 128 | 7 | 436 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Position', 'Sail Number', 'Yacht', 'State/Country', 'Yacht Type', 'LOA\\n(Metres)', 'Skipper', 'Elapsed Time\\nd:hh:mm:ss'], ['5', 'COK1', 'Nokia', 'CI', 'Farr Ketch Maxi', '25.20', 'David Witt', '3:09:19:00'], ['4', 'AUS70', 'Ragamuffin', 'NSW', 'Farr 50', '15.15', 'Syd Fischer', '3:06:11:29'], ['8', '9090', 'Indus... | 3:14:58:46 | Answer: | 128 | 10 | 466 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['#', 'Title', 'Featured guest(s)', 'Producer(s)', 'Time', 'Sample (s)'], ['7', '"Just Clownin\'"', '', 'Battlecat', '3:59', '*"(Not Just) Knee Deep" by Funkadelic\\n*"Too Tight for Light" by Funkadelic'], ['11', '"Call It What You Want"', '', 'Crazy Toones', '4:29', '*"Knucklehead" by Grover Washington, Jr.'], ['15',... | 0:49 | Answer: | 128 | 15 | 535 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Lane', 'Nation', 'Swimmers', 'Time', 'Time behind', 'Notes'], ['7', '8', 'France', 'Amaury Leveaux (1:48.57)\\nFabien Horth (1:48.67)\\nNicolas Kintz (1:50.01)\\nNicolas Rostoucher (1:50.18)', '7:17.43', '10.10', ''], ['5', '2', 'Canada', 'Brent Hayden (1:49.08)\\nBrian Johns (1:49.15)\\nAndrew Hurd (1:48.09... | Ian Thorpe | Answer: | 128 | 6 | 459 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Single', 'Peak chart positions\\nAUS', 'Peak chart positions\\nAUT', 'Peak chart positions\\nBEL\\n(Fl)', 'Peak chart positions\\nBEL\\n(Wa)', 'Peak chart positions\\nFIN', 'Peak chart positions\\nFRA', 'Peak chart positions\\nGER', 'Peak chart positions\\nNED', 'Peak chart positions\\nSWE', 'Peak chart posi... | Planet Pop | Answer: | 128 | 8 | 514 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Represent', 'Candidate', 'in Russian', 'Age', 'Height', 'Hometown'], ['Bashkortostan Republic', 'Aimee Neosaranova', 'Аимее Неосаранова', '19', '1.77\xa0m (5\xa0ft 9\xa01⁄2\xa0in)', 'Ufa'], ['Mari El Republic', 'Anna Il’ina', 'Анна Ильина', '19', '1.88\xa0m (6\xa0ft 2\xa0in)', 'Medvedevo'], ['Saratov Oblast', 'Anast... | Alissa Joanndova | Answer: | 128 | 9 | 498 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Competition', 'Venue', 'Position', 'Event', 'Notes'], ['2011', 'All-Africa Games', 'Maputo, Mozambique', '12th (h)', '800 m', '2:06.72'], ['2008', 'African Championships', 'Addis Ababa, Ethiopia', '6th', '800 m', '2:05.95'], ['2006', 'African Championships', 'Bambous, Mauritius', '13th (h)', '800 m', '2:10.5... | All-Africa Games | Answer: | 128 | 11 | 364 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['DATE', 'OPPONENT', 'SCORE', 'TOP SCORER (Total points)', 'VENUE'], ['July 8', 'STA.LUCIA', '95-88', '', 'ARANETA COLISEUM'], ['June 15', 'BRGY.GINEBRA', '111-98', '', 'PHILSPORTS ARENA'], ['October 24', 'BRGY.GINEBRA', '93-72', '', 'PHILSPORTS ARENA'], ['February 7 All-Filipino Cup', 'SHELL', '76-60', '', 'PHILSPORT... | Davonn Harp | Answer: | 128 | 19 | 524 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['#', 'Date', 'Venue', 'Opponent', 'Score', 'Result', 'Competition'], ['5', 'March 18, 1992', 'Casablanca, Morocco', 'Morocco', '1–2', '1–3', 'Friendly'], ['4', 'July 3, 1991', 'Los Angeles, California', 'Costa Rica', '2–2', '3–2', '1991 CONCACAF Gold Cup'], ['10', 'December 5, 1993', 'Los Angeles, California', 'El Sa... | 1993 | Answer: | 128 | 12 | 463 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Car', 'Start', 'Qual', 'Rank', 'Finish', 'Laps', 'Led', 'Retired'], ['1935', '44', '6', '115.459', '11', '21', '102', '0', 'Magneto'], ['1938', '17', '4', '122.499', '6', '17', '130', '0', 'Rod'], ['1930', '9', '20', '100.033', '18', '20', '79', '0', 'Valve'], ['1932', '25', '20', '108.896', '34', '13', '184... | 153 | Answer: | 128 | 14 | 460 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Representative', 'Years', 'State', 'Party', 'Lifespan'], ['William Scheuneman Kenyon', '1859–1861', 'New York', 'Republican', '1820–1896'], ['Andrew Kennedy', '1841–1847', 'Indiana', 'Democratic', '1810–1847'], ['Joe Knollenberg', '1993–2009', 'Michigan', 'Republican', '1933–'], ['William Kellogg', '1857–1863', 'Ill... | William Kent | Answer: | 128 | 18 | 519 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Place', 'Code', 'Area (km2)', 'Population', 'Most spoken language'], ['Manthata', '91105', '12.24', '22,121', 'Northern Sotho'], ['Backer', '91101', '0.34', '1,217', 'Northern Sotho'], ['Ga-Ramokgopha', '91104', '11.22', '15,806', 'Northern Sotho'], ['Remainder of the municipality', '91106', '2,944.04', '10,463', 'N... | 4 | Answer: | 128 | 10 | 281 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Name', 'Club', 'Nationality', 'Points'], ['17', 'Mário Coluna', 'Benfica', 'Portugal', '2'], ['17', 'Philippe Gondet', 'Nantes', 'France', '2'], ['15', 'Lev Yashin', 'Dynamo Moscow', 'Soviet Union', '3'], ['8', 'Alessandro Mazzola', 'Internazionale', 'Italy', '9'], ['3', 'Luis Suárez', 'Internazionale', 'Spa... | 52 | Answer: | 128 | 23 | 526 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['No. in\\nseries', 'No. in\\nseason', 'Title', 'Directed by', 'Written by', 'Original air date', 'Prod.\\ncode'], ['13', '13', '"Tigers of Heaven"', 'Allen Reisner', 'Morton Fine & David Friedkin', 'December\xa015,\xa01965', '113'], ['15', '17', '"Always Say Goodbye"', 'Allen Reisner', 'Robert C. Dennis & Earl Barret... | 4 | Answer: | 128 | 13 | 520 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Season', 'Team', 'Country', 'Division', 'Apps', 'Goals'], ['2006/07', 'Dnipro Dnipropetrovsk', 'Ukraine', '1', '12', '0'], ['2008/09', 'Dnipro Dnipropetrovsk', 'Ukraine', '1', '22', '1'], ['2004', 'CSKA Moscow', 'Russia', '1', '0', '0'], ['2007/08', 'Dnipro Dnipropetrovsk', 'Ukraine', '1', '24', '0'], ['2009/10', 'D... | 2009/10 | Answer: | 128 | 12 | 350 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Car', 'Start', 'Qual', 'Rank', 'Finish', 'Laps', 'Led', 'Retired'], ['1935', '44', '6', '115.459', '11', '21', '102', '0', 'Magneto'], ['1934', '8', '7', '113.733', '13', '17', '94', '0', 'Rod'], ['1929', '23', '11', '112.146', '15', '17', '91', '0', 'Supercharger'], ['1938', '17', '4', '122.499', '6', '17',... | 1 | Answer: | 128 | 14 | 460 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Team', 'Stadium', 'Capacity', 'City/Area'], ['Hull (2014 season)', 'Kingston Communications Stadium', '25,404', 'Kingston upon Hull, East Riding of Yorkshire'], ['Wakefield Trinity Wildcats (2014 season)', 'Rapid Solicitors Stadium', '11,000', 'Wakefield, West Yorkshire'], ['St Helens RLFC (2014 season)', 'Langtree ... | 3 | Answer: | 128 | 14 | 432 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Title', 'Year', 'Peak chart positions\\nUS', 'Peak chart positions\\nUS R&B', 'Peak chart positions\\nUS Rap', 'Album'], ['"Not Like Them"\\n(featuring Styles P)', '2012', '—', '—', '—', 'The Greatest Story Never Told Chapter 2: Bread and Circuses'], ['"Do You Know"', '2002', '—', '—', '—', 'N/A'], ['"Favorite Thing... | 4 | Answer: | 128 | 12 | 434 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Player', 'No.', 'Nationality', 'Position', 'Years for Jazz', 'School/Club Team'], ['Jim Farmer', '30', 'United States', 'Guard', '1988-89', 'Alabama'], ['Bernie Fryer', '25', 'United States', 'Guard', '1975-76', 'BYU'], ['Derek Fisher', '2', 'United States', 'Guard', '2006-2007', 'Arkansas-Little Rock'], ['Derrick F... | Kyrylo Fesenko | Answer: | 128 | 8 | 242 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Parish', 'Church name', 'Location', 'Year built'], ['Okkenhaug', 'Okkenhaug Chapel', 'Okkenhaug', '1893'], ['Levanger', 'Levanger Church', 'Levanger', '1902'], ['Åsen', 'Åsen Church', 'Åsen', '1904'], ['Ytterøy', 'Ytterøy Church', 'Ytterøya', '1890'], ['Markabygd', 'Markabygda Church', 'Markabygd', '1887'], ['Levang... | Bamberg Church | Answer: | 128 | 8 | 180 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Goal', 'Date', 'Venue', 'Opponent', 'Score', 'Result', 'Competition'], ['4', '2011-9-2', "Estadi Comunal d'Aixovall, Andorra la Vella, Andorra", 'Andorra', '0-1', '0-3', 'Euro 2012 Q'], ['5', '2011-10-7', 'Hanrapetakan Stadium, Yerevan, Armenia', 'Macedonia', '1-0', '4-1', 'Euro 2012 Q'], ['1', '2008-5-28', 'Sheriff... | 4 | Answer: | 128 | 7 | 331 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Date', 'Competition', 'Location', 'Country', 'Event', 'Placing', 'Rider', 'Nationality'], ['13 February 2009', '2008–09 World Cup', 'Copenhagen', 'Denmark', 'Team sprint', '1', 'Jason Kenny', 'GBR'], ['13 February 2009', '2008–09 World Cup', 'Copenhagen', 'Denmark', 'Team sprint', '1', 'Chris Hoy', 'GBR'], ['30 Octo... | 20 | Answer: | 128 | 13 | 520 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Single / EP', 'Tracks', 'Label', 'Year', 'Album'], ['Onslaught', 'Onslaught', 'Burn The Fire', '2012', 'The Agenda'], ['The Thirteenth Skull', 'The Thirteenth Skull', 'Burn The Fire', '2010', '—'], ['Ghetto Ass Bitches', 'Ghetto Ass Bitches', 'Burn The Fire', '2010', '—'], ['Ancient Psychic Tandem War Elephant', 'An... | Redroid | Answer: | 128 | 20 | 515 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Title', 'Role', 'Notes'], ['2003', 'Celebridade', 'Darlene Sampaio', ''], ['1993', 'Contos de Verão', 'Fabíola', ''], ['1997', 'Zazá', 'Dora Dumont', ''], ['1998', 'Era Uma Vez...', 'Emilia Zanella', ''], ['1999', 'Você Decide', 'Socorro', 'Ep: "A Filha de Maria"'], ['2009', 'Decamerão - A Comédia do Sexo', ... | Homem Objeto | Answer: | 128 | 24 | 507 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Season', 'Age', 'Overall', 'Slalom', 'Giant\\nSlalom', 'Super G', 'Downhill', 'Combined'], ['2009', '13 Dec 2008', "Val d'Isère, France", 'Giant slalom', '', '', '', ''], ['2011', '5 Mar 2011', 'Kranjska Gora, Slovenia', 'Giant Slalom', '', '', '', ''], ['2008', '21', '64', '–', '28', '46', '46', '31'], ['2010', '10... | 2014 | Answer: | 128 | 18 | 505 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Pos', 'No', 'Driver', 'Constructor', 'Laps', 'Time/Retired', 'Grid', 'Points'], ['Ret', '14', 'Jo Siffert', 'BRM', '58', 'Oil Pipe', '3', ''], ['Ret', '20', 'Chris Amon', 'Matra', '45', 'Differential', '4', ''], ['Ret', '5', 'Clay Regazzoni', 'Ferrari', '24', 'Accident', '11', ''], ['3', '4', 'Jacky Ickx', 'Ferrari'... | Denny Hulme | Answer: | 128 | 17 | 528 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Division', 'League', 'Reg. Season', 'Playoffs', 'National Cup'], ['1938/39', 'N/A', 'ASL', '4th, National', 'Did not qualify', '?'], ['1934/35', 'N/A', 'ASL', '2nd', 'No playoff', '?'], ['Fall 1932', '1', 'ASL', '3rd', 'No playoff', 'N/A'], ['1947/48', 'N/A', 'ASL', '6th', 'No playoff', '?'], ['1941/42', 'N/... | 1953/54 | Answer: | 128 | 20 | 517 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['No. in\\nseries', 'No. in\\nseason', 'Title', 'Directed by', 'Written by', 'Original air date', 'Prod.\\ncode'], ['14', '12', '"Three Hours on a Sunday"', 'Paul Wendkos', 'Morton Fine & David Friedkin', 'December\xa08,\xa01965', '112'], ['28', '27', '"It\'s All Done with Mirrors"', 'Robert Butler', 'Stephen Kandell'... | "The Time of the Knife" | Answer: | 128 | 13 | 541 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Pair', 'Country', 'Athletes', 'Time', 'Deficit'], ['5', '1', 'Norway', 'Sverre Lunde Pedersen\\nHåvard Bøkko\\nKristian Reistad Fredriksen', '3:46.33', '+4.90'], ['8', '2', 'Poland', 'Zbigniew Bródka\\nKonrad Niedźwiedzki\\nJan Szymański', '3:47.72', '+6.29'], ['', '3', 'Netherlands', 'Sven Kramer\\nKoen Ver... | Norway | Answer: | 128 | 8 | 356 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Route', 'Destinations', 'Via', 'Frequency\\n(minutes)', 'Peak Hours Only', 'Former'], ['4', 'Princess Street', 'Cataraqui Town Centre\\nDowntown', '30', '', ''], ['1', 'Montreal Street\\nSt. Lawrence College', 'Downtown', '30', '', 'Cataraqui Town Centre-Woods'], ['7', 'Dalton/Division\\nMidland/Gardiners', 'Cataraq... | Cataraqui Town Centre | Answer: | 128 | 16 | 527 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['#', 'Weekend End Date', 'Film', 'Box Office'], ['50', 'December 13, 1998', 'Rush Hour', '£1,179,123'], ['40', 'October 4, 1998', "There's Something About Mary", '£2,026,662'], ['11', 'March 15, 1998', 'Titanic', '£2,469,191'], ['8', 'February 22, 1998', 'Titanic', '£3,657,613'], ['28', 'July 12, 1998', 'Six Days Sev... | June 28, 1998 | Answer: | 128 | 20 | 516 |
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